Publication
Title
Multidisciplinary data infrastructures in multiple sclerosis : why they are needed and can be done!
Author
Abstract
Personalized treatment is highly desirable in multiple sclerosis (MS). We believe that multidisciplinary measurements including clinical, functional and patient-reported outcome measures in combination with extensive patient profiling can enhance personalized treatment and rehabilitation strategies. We elaborate on four reasons behind this statement: (1) MS disease activity and progression are complex and multidimensional concepts in nature and thereby defy a one-size-fits-all description, (2) functioning, progression, treatment, and rehabilitation effects are interdependent and should be investigated together, (3) personalized healthcare is based on the dynamics of system biology and on technology that confirms a patient's fundamental biology and (4) inclusion of patient-reported outcome measures can facilitate patient-relevant healthcare. We discuss currently available multidisciplinary MS data initiatives and introduce joint actions to further increase the overall success. With this topical review, we hope to drive the MS community to invest in expanding towards more multidisciplinary and longitudinal data collection.
Language
English
Source (journal)
Multiple sclerosis : clinical and laboratory research. - Basingstoke, 1995, currens
Publication
London : Sage publications ltd , 2019
ISSN
1352-4585 [print]
1477-0970 [online]
DOI
10.1177/1352458518807076
Volume/pages
25 :4 (2019) , p. 500-509
ISI
000461643500001
Pubmed ID
30381984
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 04.04.2019
Last edited 02.10.2024
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